Evidence map›Paper›PMID 31468322›Full record

ArticleGeroScience2019

Validation of a geropathology grading system for aging mouse studies.

Jessica M Snyder, Timothy A Snider, Marcia A Ciol, John E Wilkinson, Denise M Imai, Kerriann M Casey, Jose G Vilches-Moure, Christina Pettan-Brewer, Smitha P S Pillai, Sebastian E Carrasco and 2 more

Abstract readValidation Study
In one paragraph

Article in GeroScience, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

27 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
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  7. Article
  8. bioRxiv : the preprint server for biology · 2024
    Article
  9. Animal Models Relevant for Geroscience: Current Trends and Future Perspectives in Biomarkers, and Measures of Biological Aging.The journals of gerontology. Series A, Biological sciences and medical sciences · 2024
    Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
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  18. Sex Matters in Aging. The Canagliflozin Story.Aging pathobiology and therapeutics · 2022
    Article
  19. Geropathology. An inside view of biological aging.Aging pathobiology and therapeutics · 2022
    Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Jessica M SnyderDepartment of Comparative Medicine, University of Washington, Seattle, WA, USA.
Timothy A SniderDepartment of Veterinary Pathobiology, Oklahoma State University, Stillwater, OK, USA.
Marcia A CiolDepartment of Rehabilitation Medicine, University of Washington, Seattle, WA, USA.
John E WilkinsonDepartment of Pathology, University of Michigan, Ann Arbor, MI, USA.
Denise M ImaiDepartment of Veterinary Pathology, UC Davis, Davis, CA, USA.
Kerriann M CaseyDepartment of Comparative Medicine, Stanford University School of Medicine, Stanford, CA, USA.
Jose G Vilches-MoureDepartment of Comparative Medicine, Stanford University School of Medicine, Stanford, CA, USA.
Christina Pettan-BrewerDepartment of Comparative Medicine, University of Washington, Seattle, WA, USA.
Smitha P S PillaiFred Hutchinson Cancer Research Center, Seattle, WA, USA.
Sebastian E CarrascoDivision of Comparative Medicine, Massachusetts Institute of Technology, Cambridge, MA, USA.
Shabnam SalimiSchool of Medicine, University of Maryland, College Park, MD, USA.
Warren LadigesDepartment of Comparative Medicine, University of Washington, Seattle, WA, USA. wladiges@u.washington.edu.ORCID 0000-0002-6006-3420

Funding

DNA methylation markers of Multimorbidity in Aging Humans and MiceK01AG059898 · NIA · UNIVERSITY OF WASHINGTON · PI SALIMI, SHABNAM · 2019 to 2023
$613k
NIA NIH HHS K01 AG059898NIH HHS AG013280NIH HHS AG047115
6 · The paper itself

Abstract

An understanding of early-onset mechanisms underlying age-related changes can be obtained by evaluating changes that precede frailty and end of life using histological characterization of age-related lesions. Histopathology-based information as a component of aging studies in mice can complement and add context to molecular, cellular, and physiologic data, but there is a lack of information regarding scoring criteria and lesion grading guidelines. This report describes the validation of a grading system, designated as the geropathology grading platform (GGP), which generated a composite lesion score (CLS) for comparison of histological lesion scores in tissues from aging mice. To assess reproducibility of the scoring system, multiple veterinary pathologists independently scored the same slides from the heart, lung, liver, and kidney from two different strains (C57BL/6 and CB6F1) of male mice at 8, 16, 24, and 32 months of age. There was moderate to high agreement between pathologists, particularly when agreement within a 1-point range was considered. CLS for all organs was significantly higher in older versus younger mice, suggesting that the GGP was reliable for detecting age-related pathology in mice. The overall results suggest that the GGP guidelines reliably distinguish between younger and older mice and may therefore be accurate in distinguishing between experimental groups of mice with more, or less, age-related pathology.

Indexed as

AgingAnimalsKidneyLiverLungMice, Inbred C57BLModels, AnimalMyocardiumAgingGeropathologyGeroscienceHistopathologyLesion gradesMouse

Identifiers

PMID31468322
PMCPMC6815299

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.